ObjectiveTo analyze the epidemiological characteristics of foodborne disease outbreaks in Wuhan from 2006 to 2023, and to provide a scientific basis for the development of foodborne disease prevention and control measures. MethodsDescriptive statistical analyses were performed on foodborne disease outbreaks confirmed by the district and municipal center for disease control and prevention (CDC) in Wuhan from 2006 to 2023, and the attack rate and case fatality rate were calculated as well. ResultsA total of 182 foodborne disease outbreaks were reported in Wuhan from 2006 to 2023, with a cumulative of 2 820 cases. Among which, 3 cases were dead, with an annual average attack rate of 1.22% and a case fatality rate of 0.11%. The highest number of outbreaks occurred in collective canteens (43.96%, 80/182), the highest attack rate was observed in catering facilities (11.03%), and the highest case fatality rate was found in households (1.45%). Among the foodborne disease outbreaks with identified etiologies, microbial factors were the leading causes (36.26%, 66/182), with the main pathogens being norovirus, Bacillus cereus, and other unspecified bacteria. Fungal factors were mainly attributed to poisonous mushrooms, with a relatively high fatality rate of 2.22% (2/90). Outbreaks caused by bacterial factors were more common in the central urban area (30.28%, 33/109), while fungal-related outbreaks were more frequent in the outlying urban areas (24.66%, 18/73). ConclusionCollective canteens are the main venues for foodborne disease outbreaks in Wuhan. Microbial factors are the main pathogenic factors, and poisonous mushrooms are the leading causes to death. It is necessary to strengthen the supervision on collective canteens, carry out various forms of public awareness campaigns on poisonous mushroom poisoning, and, if required, cooperate with the gardening department to eradicate wild poisonous mushrooms in the green belts. A collaborative cooperation involving multiple departments is essential to reduce the occurrence of foodborne disease outbreaks.

ObjectiveTo analyze the surveillance results of foodborne diseases in Wuhan to investigate the temporal, spatial, and demographic distribution of foodborne disease in Wuhan, so as to provide an evidence for the prevention and control of foodborne diseases. MethodsData were collected through the foodborne disease surveillance network system and analyzed statistically. Stool, blood, rectal swabs, and vomitus samples from some diarrhea cases were collected for pathogens detection, including Salmonella, Shigella, Escherichia coli, Vibrio parahaemolyticus, and norovirus. ResultsA total of 14 733 cases of foodborne diseases were reported in Wuhan from 2019 to 2022, with a male-to-female ratio of 1∶0.92. The highest incidence was 3.58 per 10 000 person-years in 2019 and the lowest was 2.19 per 10 000 person-years in 2020. The peak incidence occurred from June to October. Higher incidence rates were observed in central districts such as Jiang’an District, Wuchang District, and Caidian District. The age group with the highest incidence was 20‒29 years, while the age group with the highest total pathogen detection rate was 0‒9 years old. The affected population primarily included middle school students, household workers, and unemployed individuals, and children living at home. Suspected food sources were mainly vegetarian, other miscellaneous foods, and animal-based food. Of the 3 499 biological samples collected, 1 820 of them was conducted a detection for norovirus, the overall detection rate of pathogenic bacteria was 22.89% (801/3 499), with detection rates of Salmonella and Escherichia coli at 19.23% (673/3 499) and 3.03% (106/3 499), respectively. The detection rate of norovirus was 4.12% (75/1 820). The detection rate of pathogenic bacteria in biological samples of the patients who consumed infant food, milk, and egg-based foods was higher, at 53.33% and 42.93%, respectively. In terms of detected pathogens, the highest detection rate of Salmonella was found in the biological samples of patients who consumed infant food, milk, and egg-based foods, the highest detection rate of Escherichia coli was found in the biological samples of patients who consumed milk, egg, and animal-based foods, while Vibrio parahaemolyticus and norovirus had higher detection rates in patients who consumed beverages and alcoholic drinks. Suspected food sources were often found in food services, retail or farmer products markets, and homemade food. Salmonella, Vibrio parahaemolyticus, and diarrheagenic Escherichia coli were detected more frequently from June to September, while norovirus was detected more frequently in winter and spring. ConclusionThe population aged between 0‒29 years in Wuhan is the key high-risk group for foodborne diseases. Salmonella, diarrheagenic Escherichia coli, and norovirus are the main pathogens causing foodborne diseases in Wuhan. Market supervision departments should focus on strengthening the regulation of infant food.

ObjectiveTo explore the function of DANCR during the differentiation of human embryonic stem cells （hESC） toward definitive endoderm （DE）. MethodsThe in vitro DE differentiation system was established and its efficiency was verified. The correlation between the expression level of DANCR and DE differentiation process was detected. Using lentivirus system， we stably knocked down DANCR in hESC. The shDANCR hESC line was applied to DE differentiation， using qPCR and Western blot to detect the expression of DE marker genes SOX17 and FOXA2， and that of primitive streak marker genes Brachyury （T）， EOMES， MIXL1 and GSC. Dual luciferase reporter assay and qPCR were used to confirm the interaction between DANCR and the WNT pathway during DE differentiation. ResultsThe in vitro differentiation system mimicked DE differentiation efficiently. And the expression of DANCR was gradually downregulated during differentiation. DANCR was efficiently knocked down in the shDANCR hESC line （P < 0.001）. Compared with those in the control group， the expression levels of primitive markers Brachyury （T）， EOMES， MIXL1 and GSC， as well as DE markers SOX17 and FOXA2， were significantly decreased in shDANCR groups （P < 0.05）. Furthermore， the transcriptional activity of the WNT pathway in shDANCR groups was lower than that in the control group （P < 0.05）. And RNA levels of downstream genes of the WNT pathway， FZD5， FZD8， SFRP1， FRZB and ANKRD6， were significantly decreased in shDANCR groups （P < 0.05）. However， differences in protein levels of the TGFβ pathway effectors SMAD2/3 and p-SMAD2 were statistically insignificant in shDANCR and control groups （P > 0.05）. Forced activation of β-CATENIN rescued DANCR knock down-induced deficiency in DE differentiation. ConclusionsThe expression of DANCR decreases during DE differentiation. DANCR may promote DE differentiation through modulating the activity of the WNT pathway.

Objective To investigate the effect of Cyclocarya paliurus(Batal.)lljinskaja polysaccharides on insulin resistance in type 2 diabetic rats by regulating glucose transporter 4(GLUT4)translocation in islet and liver.Methods High-fat diet combined with low-dose streptozotocin(35 mg·kg-1)to induce type 2 diabetes model,all the rats were randomly divided into model control group,Cyclocarya paliurus polysaccharides groups(5,10 g·kg-1)and metformin group(0.25 g·kg-1),and treated for eight weeks(n=9 in each group).Fasting glucose and lipid were determined.Histopathology of rat islet and liver were observed by hematoxylin and eosin staining.Protein expressions of phosphorylated phosphoinositide-3-kinase(p-PI3K),phosphorylated serine-threonine kinase 1(p-Akt1),and GLUT4 in islet were measured by immunohistochemistry staining.GLUT4 translocation in the islet and liver was detected by immunofluorescence.Results Compared with the model control group,the Cyclocarya paliurus polysaccharides group and metformin group had declined fasting glucose levels and increased high-density lipoprotein(P＜0.05).The structure of the islets and liver was relatively complete.The content of p-PI3K,p-Akt1 and GLUT4 in the islet increased(P＜0.05).GLUT4 translocation in the liver and islet enhanced(P＜0.05).Conclusions Cyclocarya paliurus polysaccharides alleviate glucose and lipid metabolism disorders.The mechanism may lay in it activating protein expressions of p-PI3K,p-Akt1,and GLUT4 in islet cells.GLUT4 translocation to the islet and liver cell membrane are increased to regulate peripheral islet resistance.

Background::China is one of the countries with the largest burden of gastrointestinal and liver diseases (GILD) in the world. The GILD constitutes various causes of mortality and disability. The study aimed to investigate the trend of GILD in China using the Global Burden of Diseases Study 2019 (GBD 2019) data resources from 1990 to 2019.Methods::The data on the age-standardized mortality rates (ASMR) and disability-adjusted life years (DALYs) for GILD in China from 1990 to 2019 were collected from the GBD 2019 data resources. Furthermore, the ranking of the main causes of deaths and DALYs, as well as the trends of ASMR, DALYs, years of life lost (YLLs), and years of life lost due to disability (YLDs) per 1,000,000 in GILD were reported.Results::The ASMR and DALYs for stomach cancer, liver cancer, and esophageal cancer, which ranked top three among the GILDs from 1990 to 2019, were gradually decreasing. Significant decreases in the ASMR and DALYs were found in diarrheal diseases and acute hepatitis (A, E, and C). However, noteworthy increases were found in those of colon and rectum cancer (CRC) and pancreatic cancer. Trend of DALYs, mortality, and YLLs rates for most of GILD were decreasing from 1990 to 2019, except the burden of CRC and pancreatic cancer with an increasing trend. The DALYs, mortality and YLLs of most GILD diseases showed decreasing trends from 1990 to 2019, except the burden of CRC and pancreatic cancer with an increasing trends.Conclusions::The result of the GBD 2019 showed that the rates of most GILDs decreased in China; however, gastrointestinal and liver cancer, such as stomach cancer still held the top ranking. Furthermore, the shift from infectious diseases to non-communicable causes among GILD burden is occurring.

The incidence of breast cancer is increasing year by year,and its pathogenesis is highly complex.The dysregulation of gut microbiota function is closely related to the occurrence and development of breast cancer.The estrogen levels through enterohepatic circulation is regulated by β-glucuronidase produced by the gut microbiota,thereby influencing the occurrence and development of hormone receptor-positive breast cancer and leading to tamoxifen resistance.The metabolites from the gut microbiota,such as short-chain fatty acids(SCFAs)and lithocholic acid(LCA),can participate in regulating the tumor cell cycles and cell proliferation.The colonization of gut microbiota maintains the integrity of the intestinal barrier and regulates the anti-tumor immunity mediated by T lymphocytes.Maintaining gut microbiota homeostasis can enhance the efficacy of tumor chemotherapy and immunotherapy and reduce the adverse reactions in anti-tumor treatments.The targeted action of engineered probiotics in immunotherapy can improve the precision of drug treatment.The effect of gut microbiota on radiotherapy is not yet clear,but regulating gut microbiota can aid in the treatment of radiation enteritis.This review discusses the correlation and effect of gut microbiota on breast cancer and analyzes its role in the treatment of breast cancer.

Objective:To disclose phylogenetic and antigenic characteristics of hemagglutinin (HA) gene of influenza B virus (Victoria) (BV) in the 2023-2024 influenza surveillance season in Beijing, and understand the matching with influenza vaccine component strain.Methods:Pharyngeal swab specimens from influenza like-illness (ILI) in the 2023-2024 influenza surveillance season were collected from surveillance network labs in Beijing and BV strains were isolated through MDCK or chicken embryo culture. After extracting nucleic acid, HA gene was amplified and sequenced. The nucleotide and amino acid sequence identity were conducted and the maximum likelihood method in Mega 5.0 software was used to construct the phylogenetic tree of HA gene. N-glycosylation sites of HA were performed online. Furthermore, three-dimensional structure of HA was available from SWISS-MODEL homologous modeling. Hemagglutination inhibition (HI) tests were performed to analyze antigenic characteristics of HA of BV strains.Results:Fifty-four BV strains were randomly selected to be analyzed further. Compared with the HA gene of this influenza season vaccine strain (B/Austria/1359417/2021), there are three amino acid mutations among all BV strains, two of which are located in two different antigenic determinants. Furthermore, the phylogenetic tree analysis revealed that only one subgroup of 1A.3a.2 was circulating simultaneously. All BV strains are located in Clade 1A.3a.2 subgroup, and in the same subgroup with that of the vaccine component BV strain in 2023-2024. All BV strains have the same glycosylation sites as that of the vaccine component BV strain in 2023-2024. Antigenic analysis showed that all BV strains were antigenically similar with its vaccine strain.Conclusions:In the 2023-2024 influenza surveillance season, the prevalent BV strains in the population in Beijing city are located in Clade 1A. 3a. 2 subgroup. The antigen matching between BV epidemic strains and vaccine BV components is relatively high during this surveillance season.

Objective:To investigate the phylogenetic and antigenic characteristics of hemagglutinin (HA) gene of influenza B/Victoria lineage (BV) viruses in Beijing during the 2021-2022 influenza surveillance season, and to analyze whether the circulating BV viruses match the vaccine strain.Methods:Pharyngeal swab specimens from influenza like-illness (ILI) cases in the 2021-2022 influenza surveillance season were collected from surveillance network labs in Beijing and cultured in MDCK cells and chicken embryo to isolate BV viruses. Nucleic acids of the viruses were extracted, and the HA gene was amplified and sequenced. The nucleotide and amino acid sequence identity of the HA gene was analyzed using MEGA5.0 software. A phylogenetic tree of HA gene was constructed using the maximum likelihood method. The N-glycosylation sites in HA were predicted online. Three-dimensional structure of HA was constructed using SWISS-MODEL homologous modeling. Hemagglutination inhibition (HI) test was performed to analyze the antigenicity of BV viruses.Results:A total of 402 BV viruses were collected and 58 strains with full-length HA gene sequences were chosen for further analysis. Compared with the HA gene of this year′s vaccine strain (B/Washington/02/2019), there were 27 amino acid mutations, 11 of which were located in four different antigenic determinants. The phylogenetic analysis revealed that three subgroups of 1A.3, 1A.3a1, and 1A.3a2 co-circulated in Beijing with 54 strains (54/58, 93.10%) clustered to the Clade 1A.3a2, two strains (2/58, 3.45%) clustered to the Clade 1A.3a1, and two strains (2/58, 3.45%) in the same subgroup (Clade 1A.3) as the vaccine component BV strain in 2021-2022. Compared with the vaccine strain (B/Washington/02/2019), two BV strains had an additional N-glycosylation site at residue 197, while the other 56 strains showed no change in N-glycosylation sites. Antigenic analysis showed that 35 BV strains (35/58, 60.34%) were antigenically similar to the vaccine strain and 23 strains (23/58, 39.66%) were low-response strains.Conclusions:Three subgroups of BV viruses co-circulated in Beijing during the 2021-2022 influenza surveillance season. The predominant subgroup was Clade 1A.3a2 (93.10%), showing a certain genetic distance with the vaccine strain (B/Washington/02/2019). Nearly 40% (39.66%) of the viruses were low-response strains. This study indicated that continuous monitoring of the variations of influenza epidemic strains and timely providing laboratory basis for screening vaccine component strains were the basic technical guarantee for coping with influenza pandemic.

Objective To investigate the correlation between TCM syndrome types and solar term of onset in patients with gastric cancer.Methods A total of 359 patients with gastric cancer admitted to the Cancer Center of the First Affiliated Hospital of Guangzhou University of Chinese Medicine from January 2020 to August 2023 were included in this study,and the frequency distribution method was used to analyze their information such as sex,age,solar term of onset,differentiation,metastasis and TCM syndrome type.The solar term of onset corresponding to the onset date was calculated,and then the association between solar term of onset and TCM syndrome type in gastric cancer was analyzed.The circular distribution method was used to explore the peak of solar term of onset and TCM syndrome type.Results Among the 359 patients with gastric cancer included in this study,male patients were more than female patients(1.69∶1).The age of onset was mainly between 60 and 70 years old(117 cases,32.6%),and male patients(85 cases,72.6%)were more than female patients(32 cases,27.3%)in this age group.The most common TCM syndromes were qi and blood deficiency syndrome(160 cases,44.6%)and phlegm damp condensation syndrome(94 cases,26.2%).The onset of the disease mainly occurred in winter(132 cases,36.8%),and the peaks were light snow(31 cases,23.5%),major cold(25 cases,18.9%),heavy snow(23 cases,17.4%)and the start of winter(22 cases,16.7%).Qi and blood deficiency syndrome and phlegm damp condensation syndrome in patients with gastric cancer were correlated with solar terms and seasons(P<0.05).The 285 patients with gastric cancer were mainly poorly differentiated gastric cancer(175 cases,61.4%),mainly concentrated in winter(66 cases,37.7%).The main route of gastric cancer metastasis is lymph node metastasis,followed by liver and abdominal cavity metastasis.Conclusion Qi and blood deficiency syndrome and phlegm dampness condensation syndrome are common in patients with gastric cancer.The onset time of gastric cancer is mostly in winter,and the syndrome type is significantly correlated with the onset solar term and differentiation degree.

Objective:To predict and analyze the number of acute pancreatitis (AP) inpatients based on time series model, and to explore the predictive efficiency of the model.Methods:Clinical data of AP inpatients in the Affiliated Hospital of Southwest Medical University from January 2014 to December 2019 were collected. R software was used to collect the time series of AP inpatients, and the trend and seasonal characteristics of AP inpatients from 2014 to 2018 were analyzed. Furthermore, the autoregressive moving average (ARIMA) model was established through stationarity test, model ordering and model testing steps, and the best selected model was used to predict the monthly number of inpatients in 2019 to verify its prediction efficiency.Results:A total of 3 939 AP patients were included in the study. The most common etiology for AP was cholestrogenic (48.2%), followed by hyperacylglyceremia (36.3%). The peak age of hospitalization was from 40 to 60 years old. Time series analysis showed that the number of AP inpatients increased year by year. The highest peak of the disease was from February to March, followed by September to November; and there was seasonal variation and the incidence was relatively small in summer. The established original training set sequence did not pass the stationarity test ( P=0.061), so the ARIMA model was established after it was transformed into a stationarity sequence by first-order difference. According to the criterion of minimum AIC value, ARIMA(2, 1, 1)(1, 1, 1) 12 was selected as the best model. The model was used to predict the number of AP inpatients in 2019, showing that it could better fit the trend of onset time and had good short-term prediction effect. The mean root error and absolute error were 6.8790 and 4.7783, respectively. Conclusions:The number of AP inpatients increases year by year with seasonal changes. ARIMA model is effective in predicting the number of AP inpatients and can be used for short-term prediction.